A Practical AI Prompt Workflow for Midjourney Images and Sora Video
Build clearer image and video prompts by specifying the subject, framing, light, action and continuity, then test revisions systematically.
This guide is a practical working reference. Keep assumptions visible, use the sources below for current details, and verify important decisions against your own circumstances.
Start with a deliverable, not an adjective pile
A prompt is a compact creative brief. Before writing one, decide what the finished frame or shot must communicate, what the viewer should notice first, and what would make the result successful. “Cinematic,” “beautiful,” and “epic” express mood but do not define a result you can check. A product image, an editorial portrait and an establishing shot need different compositions even if all three should feel polished.
Write the subject and task in one plain sentence, then add only context that changes what should appear: location, materials, audience, era, narrative stakes or brand restrictions. Put requirements before optional flourishes. If the result will become an ad or thumbnail, state where copy needs to sit so the composition leaves negative space for text added in editing. A clear deliverable makes variants easier to compare and reduces random prompt rewriting.
Specify the subject and the visual hierarchy
Describe attributes that a camera could plausibly reveal: silhouette, clothing, shape, expression, material, surface condition, color or posture. For an object, identify the feature that matters most. A brushed-metal laptop with a scratched corner is a different visual brief from a perfect glossy render; texture language should support the intended use rather than simply decorate the sentence. Details that do not change the output are usually noise.
Then describe a setting that supports the subject without competing with it. Think in terms of hierarchy: one dominant focal point, one supporting element and a quieter background. Instructions such as “single hero object left of center,” “clear foreground-to-background separation,” or “keep the right third uncluttered for a title” are observable constraints. They are easier to judge than a vague command to make every part of the image stand out at once.
For video, define one primary action per shot
Video generation adds time. A useful video prompt communicates what is visible at the start, one main action, and an ending that a viewer could recognize. For example, a ceramicist sets a cup on a table, rotates it once toward a window, then pauses as light moves across the glaze. This gives the model a coherent sequence instead of asking it to perform several unrelated actions in a few seconds.
Separate subject movement from camera movement. A locked camera can observe a moving subject; a slow tracking camera can follow a subject crossing a room; a pan can reveal a location without making the subject travel. Multiple simultaneous actions, costume changes, weather shifts and camera moves make continuity harder to maintain. OpenAI’s Sora prompting guide recommends simple action beats and clear camera direction, which gives a practical starting point for building a shot.
Use framing, camera direction and lighting deliberately
Framing specifies how much of a subject is visible and the viewer’s relationship to it. A wide establishing view sets the geography; a medium shot often shows a person and their action; a close-up emphasizes a face or product detail; a macro view makes texture itself the subject. An overhead angle can clarify a layout, while a low angle may suggest scale. Treat these as composition cues, not guarantees that a model will simulate a real camera perfectly.
Lighting works best when you specify its source, softness, direction and contrast. “Soft window light from camera left with a cool fill” gives a more coherent instruction than “nice lighting.” Backlight can emphasize translucent material, while a broad diffuse source often creates gentle transitions on skin and product surfaces. Choose a small color palette and explain its role. Reuse the same palette and light direction across related shots unless the story intentionally changes them.
Keep Midjourney image controls separate from Sora instructions
For Midjourney, describe the desired image first, then add only the parameters that address a known need. Aspect ratio shapes composition, especially when the output must fit a vertical phone screen or a wide banner. Negative prompts can help rule out recurring unwanted objects, but a long list of exclusions can be counterproductive. Check the current Midjourney documentation before relying on a particular parameter or model-specific behavior because product controls can change.
For Sora, prioritize shot composition, subject action, timing, camera behavior, light, sound cues when relevant, and continuity. An aspect ratio is not a complete video brief. State whether the subject enters or stays in frame, what changes, and how the camera moves during that change. The same text should not be copied unchanged between an image model and a video model: one mainly describes a composed frame, while the other must communicate motion over time.
Iterate like a small experiment
When a result misses the mark, change one important variable at a time. If framing is wrong, keep the subject and lighting stable while changing composition. If the subject is correct but material looks artificial, adjust surface detail and light rather than rewriting the entire brief. Save prompts, chosen parameters, model version and the resulting output. A short prompt log converts an accidental good result into something you can reproduce more reliably.
Choose acceptance criteria before generating: correct subject, readable silhouette, intended aspect ratio, consistent identity, plausible motion, clean background and no disallowed details. Score outputs against those criteria rather than an undefined sense of quality. Keep the strongest variants and note what changed. If the next variation is worse, return to the previous prompt instead of guessing what you did differently. The method is closer to controlled iteration than to a slot machine.
Review output for continuity and production errors
Inspect more than the thumbnail. Check small text, labels, hands, reflections, shadows, object contact points and anything close to a frame boundary. For video, watch the entire clip at normal speed. Look for identity drift, props that change shape, impossible contact, broken physics, flicker and backgrounds that jump between frames. A visually impressive first frame cannot compensate for a sequence that fails when played from beginning to end.
If the output is for a real product or educational explanation, verify every factual detail. Generated images can show invented device ports, incorrect controls, illegible packaging or a process that would not work in the real world. Where accuracy matters, use the model for moodboards and first passes, then use verified assets, editing or human review to produce the final item. Human review is not a failure of automation; it is part of the production process.
Handle references, rights and disclosure responsibly
Use references you have permission to use, and do not assume a generated result automatically clears copyright, trademark, personality or licensing concerns. When a brief starts from a recognizable brand or artist, decide which visual properties genuinely matter for the job and check platform rules before publishing. Commercial usage terms can differ by product tier and model, so verify the current rules for the account and workflow being used rather than relying on a remembered policy.
Be transparent when synthetic footage or voices could confuse viewers about real events, people or endorsements. For client work, agree who will review results and who is responsible for factual, legal and brand checks. Preserve source prompts and licensing information with project assets. The aim is not to avoid useful generative tools; it is to use them with enough records and review that the published material is defensible and fit for its intended audience.
A repeatable ten-minute prompting workflow
Begin by writing the outcome in one sentence. Name the subject and environment; choose framing and one focal point; pick a lighting setup and limited palette; and, for video, define a single action with an identifiable start and end. Add only the constraints needed to prevent a known failure. Generate two or three controlled variants and compare each against your acceptance checklist, not against unrelated images you saw online.
Use the [AI Prompt Enhancer](/ai-prompt-enhancer.html) to organize a rough brief, then edit the result to match your real goal. The tool does not know product specifications or references you have not supplied. Check the target model’s current help pages, keep a prompt log, and review the exported output carefully. A structured prompt reduces ambiguity but cannot guarantee perfect generation, legal clearance or a particular audience response.
Continue with the related tool
Use the AI Prompt Enhancer to apply this guide to a practical first pass. Review the inputs and assumptions before relying on the result.
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Sources and further reading
Source pages can change. This guide summarizes practical methods and does not replace professional tax, financial, legal or platform-specific advice.